id,collection,dc.contributor.author,dc.date.accessioned,dc.date.available,dc.date.issued,dc.description.abstract[en],dc.format.extent,dc.identifier.uri,dc.language,dc.rights.uri,dc.subject,dc.subject.ddc,dc.title,dc.title.subtitle,dc.type,dcterms.accessRights.openaire,dcterms.bibliographicCitation,dcterms.bibliographicCitation.doi,dcterms.bibliographicCitation.url,refubium.affiliation[de],refubium.mycore.derivateId,refubium.mycore.fudocsId,refubium.note.author,refubium.resourceType.isindependentpub "75979595-c049-43af-ba92-f0d3c44e2cc5","fub188/15","Jaeschke, Lina||Luzak, Agnes||Steinbrecher, Astrid||Jeran, Stephanie||Ferland, Maike||Linkohr, Birgit||Schulz, Holger||Pischon, Tobias","2018-06-08T10:58:30Z","2017-06-09T11:14:20.471Z","2017","Estimation of physical activity using 24 h-accelerometry requires detection of accelerometer non-wear time (NWT). It is common practice to define NWT as periods >60 minutes of consecutive zero-accelerations, but this algorithm was originally developed for waking hours only and its applicability to 24 h-accelerometry is unclear. We investigated sensitivity and specificity of different algorithms to detect NWT in 24 h-accelerometry compared to diary in 47 ActivE and 559 KORA participants. NWT was determined with algorithms >60, >90, >120, >150, or >180 minutes of consecutive zero-counts. Overall, 9.1% (ActivE) and 15.4% (KORA) of reported NWT was >60 minutes. Sensitivity and specificity were lowest for the 60-min algorithm in ActivE (0.72 and 0.00) and KORA (0.64 and 0.08), and highest for the 180-min algorithm in ActivE (0.88 and 0.92) and for the 120-min algorithm in KORA (0.76 and 0.74). Nevertheless, when applying these last two algorithms, the overlap of accelerometry with any diary based NWT minutes was around 20% only. In conclusion, only a small proportion of NWT is >60 minutes. The 60-min algorithm is less suitable for NWT detection in 24 h-accelerometry because of low sensitivity, specificity, and small overlap with reported NWT minutes. Longer algorithms perform better but detect lower proportions of reported NWT.","11 S.","https://refubium.fu-berlin.de/handle/fub188/21417||http://dx.doi.org/10.17169/refubium-24710","eng","http://creativecommons.org/licenses/by/4.0/","Epidemiology||Public health||Risk factors","600 Technik, Medizin, angewandte Wissenschaften::610 Medizin und Gesundheit","24 h-accelerometry in epidemiological studies","automated detection of non-wear time in comparison to diary information","Wissenschaftlicher Artikel","open access","Scientific Reports. - 7 (2017), Artikel Nr. 2227","10.1038/s41598-017-01092-w","http://www.nature.com/articles/s41598-017-01092-w","Charité - Universitätsmedizin Berlin","FUDOCS_derivate_000000008303","FUDOCS_document_000000027159","Der Artikel wurde in einer reinen Open-Access-Zeitschrift publiziert.","no"